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Overcoming the Uncertainty in Du-Pont Graph of Profitability

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F15%3A68837" target="_blank" >RIV/60460709:41110/15:68837 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21630/15:00236552

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    Overcoming the Uncertainty in Du-Pont Graph of Profitability

  • Original language description

    Financial analysis of a company requires a wealth of information. There is so much information available and so much of the analysis can be computerized, that the task of the analyst is to select the appropriate tools, gather the pertinent information, and interpret the information. Analysis is becoming more important following the recent scandals as investors and financial managers are learning to become more sceptical of accounting information and look more closely at trends in data, comparisons withother firms, the relation between management compensation and earnings, and footnote disclosures. One of the best tools for predicting profit from financial analysis is the use of Du-Pont graph of profitability. It sees a connection between profit and turnover of operating assets. Each company has, however, individual curve of this dependence, therefore, the determination of turnover for the planned profit vague matter (values create the array of values). The aim of this paper is to prop

  • Czech name

    Overcoming the Uncertainty in Du-Pont Graph of Profitability

  • Czech description

    Financial analysis of a company requires a wealth of information. There is so much information available and so much of the analysis can be computerized, that the task of the analyst is to select the appropriate tools, gather the pertinent information, and interpret the information. Analysis is becoming more important following the recent scandals as investors and financial managers are learning to become more sceptical of accounting information and look more closely at trends in data, comparisons withother firms, the relation between management compensation and earnings, and footnote disclosures. One of the best tools for predicting profit from financial analysis is the use of Du-Pont graph of profitability. It sees a connection between profit and turnover of operating assets. Each company has, however, individual curve of this dependence, therefore, the determination of turnover for the planned profit vague matter (values create the array of values). The aim of this paper is to prop

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP403%2F12%2F1950" target="_blank" >GAP403/12/1950: Design of Experiments for Product Development and Multi-Factor Optimization of Production</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

  • ISSN

    1211-8516

  • e-ISSN

  • Volume of the periodical

    Vol 63

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    5

  • Pages from-to

    1891-1895

  • UT code for WoS article

  • EID of the result in the Scopus database